Literature DB >> 12758019

Deposition to forests in Europe: most important factors influencing dry deposition and models used for generalisation.

Jan Willem Erisman1, Geert Draaijers.   

Abstract

Dry deposition of gases and particles to forests is influenced by factors influencing the turbulent transport, such as wind speed, tree height, canopy closure, LAI, etc. as well as by factors influencing surface condition, such as precipitation, relative humidity, global radiation, etc. In this paper, an overview of these factors is given and it is shown which are the most important determining temporal and spatial variation of dry deposition of sodium and sulphur. Furthermore, it is evaluated how well current deposition models are able to describe the temporal and spatial variation in dry deposition. It is concluded that the temporal variation is not modelled well enough, because of limited surface-wetness exchange parameterisations. The influence of forest characteristics are modelled reasonably well, provided enough data describing the forests and the spatial variation in concentration is available. For Europe these data are not available. The means to decrease the atmospheric deposition through forest management is discussed.

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Year:  2003        PMID: 12758019     DOI: 10.1016/s0269-7491(03)00049-6

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  12 in total

1.  Removal efficiency of particulate matters at different underlying surfaces in Beijing.

Authors:  Jiakai Liu; Lichun Mo; Lijuan Zhu; Yilian Yang; Jiatong Liu; Dongdong Qiu; Zhenming Zhang; Jinglan Liu
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-27       Impact factor: 4.223

2.  The role of forest type in the variability of DOC in atmospheric deposition at forest plots in Italy.

Authors:  S Arisci; M Rogora; A Marchetto; F Dichiaro
Journal:  Environ Monit Assess       Date:  2011-07-15       Impact factor: 2.513

Review 3.  The effect of forest type on throughfall deposition and seepage flux: a review.

Authors:  An De Schrijver; Guy Geudens; Laurent Augusto; Jeroen Staelens; Jan Mertens; Karen Wuyts; Leen Gielis; Kris Verheyen
Journal:  Oecologia       Date:  2007-07-13       Impact factor: 3.225

4.  Assessing the influence of topography and canopy structure on Douglas fir throughfall with LiDAR and empirical data in the Santa Cruz mountains, USA.

Authors:  K T Griffith; A G Ponette-González; L M Curran; K C Weathers
Journal:  Environ Monit Assess       Date:  2015-04-18       Impact factor: 2.513

5.  Particle removal by vegetation: comparison in a forest and a wetland.

Authors:  Jiakai Liu; Jiexiu Zhai; Lijuan Zhu; Yilian Yang; Jiatong Liu; Zhenming Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-27       Impact factor: 4.223

6.  Altitudinal patterns and controls of trace metal distribution in soils of a remote high mountain, Southwest China.

Authors:  Rui Li; Haijian Bing; Yanhong Wu; Jun Zhou; Zhongxiang Xiang
Journal:  Environ Geochem Health       Date:  2017-03-16       Impact factor: 4.609

7.  Multi-scale comparison of the fine particle removal capacity of urban forests and wetlands.

Authors:  Zhenming Zhang; Jiakai Liu; Yanan Wu; Guoxin Yan; Lijuan Zhu; Xinxiao Yu
Journal:  Sci Rep       Date:  2017-04-10       Impact factor: 4.379

8.  Mixed forest plantations can efficiently filter rainfall deposits of sulfur and chlorine in Western China.

Authors:  Hairong Zhao; Wanqin Yang; Fuzhong Wu; Bo Tan
Journal:  Sci Rep       Date:  2017-01-30       Impact factor: 4.379

9.  The contribution of nitrogen deposition to the eutrophication signal in understorey plant communities of European forests.

Authors:  Han F van Dobben; Wim de Vries
Journal:  Ecol Evol       Date:  2016-12-18       Impact factor: 2.912

10.  The polycyclic aromatic hydrocarbon concentrations in soils in the Region of Valasske Mezirici, the Czech Republic.

Authors:  Daniela Plachá; Helena Raclavská; Dalibor Matýsek; Mark H Rümmeli
Journal:  Geochem Trans       Date:  2009-12-14       Impact factor: 4.737

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